GRNNs (version 0.1.0)

grnn.kfold: General Regression Neural Networks (GRNNs)

Description

General Regression Neural Networks (GRNNs)

Usage

grnn.kfold(x, y, k, fun, scale = TRUE)

Arguments

x

The dataframe of training predictor dataset

y

The dataframe of training response variables

k

The numeric number of k folds

fun

The distance function

scale

The logic statements (TRUE/FALSE)

Value

rmse,stdae,stdev,mae,r,pvalue,best spread

Examples

# NOT RUN {
data("met")
data("physg")
# }
# NOT RUN {
results_kfold<-grnn.kfold(physg,met,10,"euclidean",scale=TRUE)
# }